“Can you fully trust AI inference results?” I've asked a lot of developers, and no one is willing to bet their bottom dollar. OpenGradient is exactly filling that trust gap — it allows every calculation of the model to be verified on-chain.

This project has serious roots, with a16z Crypto leading a $9.5 million raise, and the team hails from Palantir and Two Sigma. The core design is called Hybrid AI Computing Architecture (HACA), where inference nodes run models in TEE while simultaneously generating cryptographic proofs for full nodes to verify. You get the results instantly, but the proofs are always verifiable.

The data speaks volumes: since the mainnet launch, it has processed over 2 million verifiable inferences and generated more than 500,000 proofs, with over 2,000 models integrated in the Model Hub. The $OPG token is the fuel for the entire network — used for paying inference fees, staking nodes, and governance voting all revolve around it. With a total supply of 1 billion tokens, 40% is reserved for ecosystem development, and it’s already listed on major exchanges like Binance and Upbit.

In plain terms, AI infrastructure without verification capabilities will inevitably run into issues. OpenGradient has made “verifiable” the default option, and I’m bullish on this direction moving forward.

#opg $OPG